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Berkeley Data Stack

The Berkeley Data Stack is a collection of open source tools that help enable large-scale data science research and education efforts across UC Berkeley, including Jupyter Interactive computing notebooks, textbooks, and autograding tools.

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Data Peer Consulting

Students help peers on everything from using Jupyter notebooks to learning SQL on an appointment and drop-in basis.

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Data Science Education Workshops

Resources from our pedagogy workshops, including the academic resource kit, are available to support instructors in learning and incorporating data science approaches and teaching tools.

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Data Scholars

Data Scholars addresses issues of underrepresentation in the data science community by establishing a community that is welcoming, educational, and empowering for underrepresented and nontraditional students.

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Student Opportunities

Students are the heart of our program, helping to create new data science content and courses, support outreach and communications, and advance research.

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Textbooks

Berkeley's core data science classes use interactive online textbooks that are available to all.

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Modules

Data science modules are short explorations into data science that give students the opportunity to work hands-on with a data set relevant to their course and receive some instruction on the principles of data analysis, statistics, and computing.

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Datahub

Berkeley Datahub refers to the campus infrastructure set up on datahub.berkeley.edu. Datahub is a tool that allows Berkeley’s data science program to utilize cloud computing infrastructure to deploy scalable resources that enable users to interact remotely with a standardized, common computing environment.